A Penalized Linear and Nonlinear Combined Conjugate Gradient Method for the Reconstruction of Fluorescence Molecular Tomography

A Penalized Linear and Nonlinear Combined Conjugate Gradient Method for the Reconstruction of Fluorescence Molecular Tomography

Conjugate gradient method is verified to be efficient for nonlinear optimization problems of large-dimension data. In this paper, a penalized linear and nonlinear combined conjugate gradient method for the reconstruction of fluorescence molecular tomography (FMT) is presented. The algorithm combines...

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Bibliographic Details
Main Authors: Shang Shang, Jing Bai, Xiaolei Song, Hongkai Wang, Jaclyn Lau
Format: Article
Language:English
Published: Wiley 2007-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2007/84724
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